Extract & Summarize Yelp Business Reviews with Bright Data and Google Gemini

Workflow Name

Extract & Summarize Yelp Business Reviews with Bright Data and Google Gemini

Key Features and Highlights

This workflow automates the extraction of restaurant business review data from Yelp and leverages Google Gemini’s powerful large language model (LLM) for structured data extraction and intelligent summarization. By integrating Bright Data’s robust web scraping capabilities, it ensures efficient and accurate data acquisition. The workflow is fully automated, supports customizable URLs and data callback notifications, significantly enhancing user experience and data utilization efficiency.

Core Problems Addressed

Manual collection and analysis of Yelp business reviews are time-consuming and labor-intensive, making it difficult to quickly distill key insights. This workflow solves the core challenges of cumbersome data collection, unstructured information, and difficulty in summarization through automated data scraping and AI-driven intelligent analysis, enabling fast and efficient structured review data extraction and summary generation.

Use Cases

• Market research in the food and beverage industry to rapidly gather user reviews and ratings for target cities or restaurants.
• User feedback analysis by data analysts and product managers to support decision-making.
• Integration of user review data into AI-powered business intelligence platforms to enhance business monitoring and customer service.
• Competitive analysis and brand reputation management.

Main Process Steps

1. Manually trigger the workflow to initiate the data scraping process;
2. Set the target Yelp page URL and corresponding Bright Data proxy zone to define the scraping target;
3. Invoke Bright Data API via HTTP requests to retrieve raw Yelp business review data;
4. Use Google Gemini language model to perform structured extraction on the scraped review data, outputting fields such as restaurant name, location, average rating, number of reviews, and detailed review content;
5. Call Google Gemini’s summarization model to generate intelligent summaries of the structured reviews, producing concise and clear overview insights;
6. Merge the structured data with the summary results;
7. Push the final analysis results to a specified URL via webhook notifications for seamless downstream system integration and processing.

Involved Systems and Services

• Bright Data: Responsible for proxy-based scraping of Yelp review data, ensuring stable and compliant data acquisition.
• Google Gemini (PaLM API): The core AI language model used for text structuring and summary generation.
• Webhook: Facilitates real-time data delivery and integration by pushing processed data to third-party systems.
• n8n Automation Platform: Provides the overall workflow orchestration and process management.

Target Users and Value

• Market analysts researching user reputation in the food and beverage sector;
• Business intelligence teams needing rapid aggregation and organization of large volumes of user reviews;
• Developers and product managers leveraging AI technology for automated data processing;
• Any enterprises or individuals aiming to enhance the value of user review data through automation.

By combining advanced data scraping technology with AI language models, this workflow enables users to efficiently capture, comprehend, and utilize Yelp business review information, greatly enhancing the automation and intelligence level of data processing.